Dina Katabi
40 papers · 2014–2025 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+14 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (11)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(8)
🤝
Dynamic Duo
(11)
👑
Triple Crown
🏆
Grand Slam
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🚀
Conference Pioneer
📈
Trend Setter
🗃️
Keyword Collector
(133)
⚡
Prolific Year
(9)
🔥
Unstoppable
(12)
💎
Century Club
(40)
Conferences
CVPR (8)
ICLR (7)
ICML (6)
NSDI (6)
ICCV (3)
NIPS (3)
ECCV (2)
WACV (2)
AAAI (1)
MLHC (1)
RSS (1)
Top co-authors
Research topics
Keywords
contrastive learning
(7)
representation learning
(5)
self-supervised learning
(4)
image generation
(3)
human pose estimation
(3)
radio signal
(3)
radio frequency
(2)
variational inference
(2)
wireless sensing
(2)
domain generalization
(2)
text-to-image model
(2)
transfer learning
(2)
domain adaptation
(2)
radio frequency signal
(2)
vision-language model
(2)
adversarial training
(2)
feature distribution
(2)
generative model
(2)
unsupervised learning
(2)
synthetic image
(2)
Papers
Language-Guided Image Tokenization for Generation
CVPR 2025
Learning Vision from Models Rivals Learning Vision from Data
CVPR 2024
Scaling Laws of Synthetic Images for Model Training ... for Now
CVPR 2024
Return of Unconditional Generation: A Self-supervised Representation Generation Method
NIPS 2024
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
ICLR 2024
Rank-N-Contrast: Learning Continuous Representations for Regression
NIPS 2023
Improving CLIP Training with Language Rewrites
NIPS 2023
MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis
CVPR 2023
Unsupervised Object Localization with Representer Point Selection
ICCV 2023
SimPer: Simple Self-Supervised Learning of Periodic Targets
ICLR 2023
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
ICLR 2023
Change is Hard: A Closer Look at Subpopulation Shift
ICML 2023
Contactless Oxygen Monitoring with Radio Waves and Gated Transformer
MLHC 2023
Addressing Feature Suppression in Unsupervised Visual Representations
WACV 2023
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
CVPR 2022
Unsupervised Domain Generalization by Learning a Bridge Across Domains
CVPR 2022
Unsupervised Learning for Human Sensing Using Radio Signals
WACV 2022
"On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond"
ECCV 2022
Delving into Deep Imbalanced Regression
ICML 2021
Continuously Indexed Domain Adaptation
ICML 2020
Self-Supervised Learning of Appliance Usage
ICLR 2020
Harnessing Structures for Value-Based Planning and Reinforcement Learning
ICLR 2020
Learning Compositional Koopman Operators for Model-Based Control
ICLR 2020
Learning Longterm Representations for Person Re-Identification Using Radio Signals
CVPR 2020
In-Home Daily-Life Captioning Using Radio Signals
ECCV 2020
Through-Wall Human Mesh Recovery Using Radio Signals
ICCV 2019
Learning-Based Frequency Estimation Algorithms
ICLR 2019
Making the Invisible Visible: Action Recognition Through Walls and Occlusions
ICCV 2019
Circuit-GNN: Graph Neural Networks for Distributed Circuit Design
ICML 2019
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
ICML 2019
Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling
AAAI 2019
Through-Wall Human Pose Estimation Using Radio Signals
CVPR 2018
Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture
ICML 2017
Enabling High-Quality Untethered Virtual Reality
NSDI 2017
Decimeter-Level Localization with a Single WiFi Access Point
NSDI 2016
Securing RFIDs by Randomizing the Modulation and Channel
NSDI 2015
Multi-Person Localization via RF Body Reflections
NSDI 2015
Beyond Sensing: Multi-GHz Realtime Spectrum Analytics
NSDI 2015
Guaranteeing Spoof-Resilient Multi-Robot Networks
RSS 2015
3D Tracking via Body Radio Reflections
NSDI 2014